8796faca63
- packages/domain: ForecastRequest, BidOptimizationRequest/Result,
ReportRequest, SkillReport (+ golden and invalid fixtures, exported to
contracts/ and regenerated as pydantic models).
- skills-py/vpp_skills: FastAPI service with versioned registry; load/PV/
price forecasts (same-day-type EWM point forecast, conformal residual
quantiles — coverage test as acceptance gate); bid-optimization MILP on
HiGHS (binary block participation, hard ledger energy bounds, exact
Decimal fit of the rounded curve inside the bounds, revenue distribution
over quantile paths); report generator whose every figure is a
{tool_call_id, path} reference, with a verifier. 48 tests incl. hypothesis
property test that bids respect ledger constraints.
- packages/services: LedgerService.dayAheadBounds (the P7 cascade band
handed to the optimizer); Decimal resolved once for CJS/ESM interop.
- packages/evals: L2 metrics (MAPE, nRMSE, coverage, direction accuracy,
naive/hindsight revenue baselines), HTTP skill client, rolling-origin
harness that pushes each bid through the real ledger, CLI with
--check/--write-baseline; committed baseline on the SYNTHETIC dataset
(no historical Hubei data yet — baselines measure the harness, not KPI).
- CI: evals job boots the skill service and fails on baseline digest drift.
- docs/open-questions: A6 (flexibility marginal cost = offer floor); A4/B6
wired as placeholders. README/CLAUDE.md status → M2 done, M3 next.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01UoYoGYzHkFyv3ALenkRPhA
82 lines
2.7 KiB
Python
82 lines
2.7 KiB
Python
"""HTTP/JSON skill service (docs/11 §3.4, docs/09 §4).
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One process, one route per skill, generated pydantic contracts on both request
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and response. The TS runtime's registerSkill wrapper is the only intended
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caller; it snapshots request/response for lineage. Run locally with
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``uvicorn vpp_skills.app:app``.
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"""
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from __future__ import annotations
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from fastapi import FastAPI, HTTPException
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from fastapi.responses import JSONResponse
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from vpp_contracts.bid_optimization_request import BidOptimizationRequest
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from vpp_contracts.bid_optimization_result import BidOptimizationResult
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from vpp_contracts.forecast_bundle import ForecastBundle
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from vpp_contracts.forecast_request import ForecastRequest
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from vpp_contracts.report_request import ReportRequest
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from vpp_contracts.skill_report import SkillReport
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from . import SKILL_VERSIONS
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from .bid_milp import optimize_bid
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from .forecast import forecast
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from .report import generate_report
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app = FastAPI(title="vpp-skills", version="0.1.0")
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ROUTES = {
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"load-forecast": "/v1/forecast/load",
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"pv-forecast": "/v1/forecast/pv",
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"price-forecast": "/v1/forecast/price",
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"bid-optimization-milp": "/v1/optimize/bid",
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"report-generator": "/v1/report",
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}
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@app.exception_handler(ValueError)
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async def _value_error(_, exc: ValueError) -> JSONResponse:
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return JSONResponse(status_code=422, content={"detail": str(exc)})
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@app.get("/health")
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def health() -> dict:
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return {"status": "ok"}
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@app.get("/v1/skills")
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def skills() -> list[dict]:
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"""Registry view: what the TS tool registry pins versions against."""
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return [{"id": sid, "version": ver, "endpoint": ROUTES[sid]} for sid, ver in SKILL_VERSIONS.items()]
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def _forecast_for(kind: str, req: ForecastRequest) -> ForecastBundle:
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if req.kind.value != kind:
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raise HTTPException(status_code=422, detail=f"this endpoint serves kind={kind}, got {req.kind.value}")
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return forecast(req)
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@app.post(ROUTES["load-forecast"], response_model=ForecastBundle)
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def forecast_load(req: ForecastRequest) -> ForecastBundle:
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return _forecast_for("LOAD", req)
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@app.post(ROUTES["pv-forecast"], response_model=ForecastBundle)
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def forecast_pv(req: ForecastRequest) -> ForecastBundle:
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return _forecast_for("PV", req)
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@app.post(ROUTES["price-forecast"], response_model=ForecastBundle)
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def forecast_price(req: ForecastRequest) -> ForecastBundle:
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return _forecast_for("PRICE", req)
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@app.post(ROUTES["bid-optimization-milp"], response_model=BidOptimizationResult)
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def optimize(req: BidOptimizationRequest) -> BidOptimizationResult:
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return optimize_bid(req)
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@app.post(ROUTES["report-generator"], response_model=SkillReport)
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def report(req: ReportRequest) -> SkillReport:
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return generate_report(req)
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